2024 papers
Byju's Placement Papers 2025
Overview
This page is a working set of BYJU’S placement papers from 2025: from student reports questions, the 2025 online assessment pattern, and step-by-step solutions. Use it to see what BYJU’S actually asked in the latest cycle, how hard the rounds were, and which themes (DSA, system design, aptitude, or role-specific topics) mattered most. Practice the problems below under timed conditions, then cross-check with the interview and preparation guides if you are targeting an upcoming BYJU’S drive.
BYJU’S Online Assessment 2025 pattern
| Section | Questions | Time | Difficulty |
|---|---|---|---|
| Coding Problems | 2-3 | 90 min | Medium-Hard |
BYJU’S Placement Papers 2025 - actual questions & solutions
This section contains practice questions styled on BYJU’S placement papers 2025 (recent-cycle pattern), with worked solutions. Use them as timed sectional drills - from student reports drives vary by college and role, so treat this as a high-signal practice bank, not an official paper dump.
Question 1: binary tree level order
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Problem Statement: Return the level-order traversal of a binary tree.
Example:
Input: [3,9,20,null,null,15,7]Output: [[3],[9,20],[15,7]]Solution (Java):
public List<List<Integer>> levelOrder(TreeNode root) { List<List<Integer>> res = new ArrayList<>(); if (root == null) return res; Queue<TreeNode> q = new ArrayDeque<>(); q.add(root); while (!q.isEmpty()) { int sz = q.size(); List<Integer> level = new ArrayList<>(); for (int i = 0; i < sz; i++) { TreeNode n = q.poll(); level.add(n.val); if (n.left != null) q.add(n.left); if (n.right != null) q.add(n.right); } res.add(level); } return res;}Time Complexity: O(n)
Space Complexity: O(n)
Question 2: maximum subarray sum
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Problem Statement: Find the contiguous subarray with the largest sum.
Example:
Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4]Output: 6 // [4, -1, 2, 1]Solution (Java):
public int maxSubArray(int[] nums) { int best = nums[0], cur = nums[0]; for (int i = 1; i < nums.length; i++) { cur = Math.max(nums[i], cur + nums[i]); best = Math.max(best, cur); } return best;}Time Complexity: O(n)
Space Complexity: O(1)
Question 3: check palindrome
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Problem Statement: Return true if the string reads the same forward and backward (ignore case).
Example:
Input: "Level"Output: trueSolution (Java):
public boolean isPalindrome(String s) { s = s.toLowerCase(); int i = 0, j = s.length() - 1; while (i < j) { if (s.charAt(i++) != s.charAt(j--)) return false; } return true;}Time Complexity: O(n)
Space Complexity: O(1)
Question 4: detect cycle in linked list
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Problem Statement: Return true if the linked list has a cycle.
Example:
Input: 3→2→0→-4→(back to 2)Output: trueSolution (Java):
public boolean hasCycle(ListNode head) { ListNode slow = head, fast = head; while (fast != null && fast.next != null) { slow = slow.next; fast = fast.next.next; if (slow == fast) return true; } return false;}Time Complexity: O(n)
Space Complexity: O(1)
Question 5: reverse a string
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Problem Statement: Given a string, return it reversed.
Example:
Input: "placement"Output: "tnemecalp"Solution (Java):
public String reverse(String s) { return new StringBuilder(s).reverse().toString();}Time Complexity: O(n)
Space Complexity: O(n)
Question 6: two sum
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Problem Statement: Given an array of integers and a target, return indices of two numbers that add up to target.
Example:
Input: nums = [2, 7, 11, 15], target = 9Output: [0, 1]Solution (Java):
public int[] twoSum(int[] nums, int target) { Map<Integer, Integer> map = new HashMap<>(); for (int i = 0; i < nums.length; i++) { int need = target - nums[i]; if (map.containsKey(need)) return new int[]{map.get(need), i}; map.put(nums[i], i); } return new int[]{};}Time Complexity: O(n)
Space Complexity: O(n)
Question 7: first non-repeating character
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Problem Statement: Return the first non-repeating character in a string, or ‘_’ if none.
Example:
Input: "swiss"Output: 'w'Solution (Java):
public char firstUnique(String s) { int[] freq = new int[256]; for (char c : s.toCharArray()) freq[c]++; for (char c : s.toCharArray()) if (freq[c] == 1) return c; return '_';}Time Complexity: O(n)
Space Complexity: O(1)
Question 8
Q8: Which SQL clause filters grouped rows after GROUP BY?
Solution:
HAVING filters aggregates; WHERE filters rows before grouping.
Answer: HAVING
Question 9
Q9: Worst-case time complexity of quicksort is?
Solution:
Unbalanced partitions (already sorted with bad pivot) → O(n²).
Answer: O(n²)
Question 10
Q10: In OOP, hiding internal details and showing only essential features is called?
Solution:
This is the definition of Encapsulation (often paired with abstraction in interviews).
Answer: Encapsulation
Question 11
Q11: Virtual memory is typically implemented using?
Solution:
OS uses demand paging (and sometimes segmentation) to implement virtual memory.
Answer: Demand paging
Key insights from 2025 BYJU’S Online Assessment
- Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
- Personalized Learning Focus: Strong emphasis on ed-tech platform design, adaptive learning systems, AI-powered personalization
- Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
- Success Rate: Only 10-15% cleared OA and advanced to interviews
- Platform: BYJU’S assessment platform or HackerRank
- Focus Areas: Arrays, trees, graphs, dynamic programming, personalized learning systems, AI-powered ed-tech
- Enhanced Emphasis: Optimal solutions, AI-powered personalization, and adaptive learning systems
BYJU’S 2025 interview experiences
Based on recent candidate experiences from 2025 BYJU’S interviews:
2025 Interview Process:
- Online Assessment (90 minutes): 2-3 coding problems
- Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, ed-tech concepts, AI/ML
- Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each):
- Coding rounds (2-3): Algorithms, data structures, problem-solving
- System Design rounds: AI-powered ed-tech platforms, adaptive learning systems, personalized learning paths, content delivery
- Behavioral rounds: Problem-solving approach, education passion, impact, AI/ML passion
2025 Interview Trends:
- Increased emphasis on AI-powered personalization and adaptive learning systems
- More focus on optimal solutions and modern ed-tech technologies
- Enhanced behavioral questions about innovation and education passion
- Questions about AI/ML applications in ed-tech and personalized learning
Common 2025 Interview Topics:
- Coding: Arrays, strings, trees, graphs, dynamic programming, adaptive learning algorithms
- System Design: AI-powered ed-tech platforms, adaptive learning systems, personalized learning paths, content delivery
- Behavioral: Problem-solving, education passion, teamwork, impact, AI/ML passion
- BYJU’S Technologies: Ed-tech platforms, AI-powered features, adaptive learning systems, personalized learning paths
Success Tips:
- Strong coding performance is essential - solve problems optimally
- Understand ed-tech concepts, AI-powered personalization, and adaptive learning systems
- Practice system design for AI-powered ed-tech platforms and adaptive learning systems
- Prepare examples demonstrating problem-solving and education passion
- Learn BYJU’S products, AI features, and ed-tech technologies
- Practice explaining your thought process clearly
For detailed interview experiences from 2025, visit BYJU’S Interview Experience page.
Preparation tips for BYJU’S 2025 pattern
- Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
- Ed-Tech Expertise: Strong understanding of AI-powered ed-tech systems, adaptive learning systems, personalized learning paths
- Practice Previous Year Papers: Solve BYJU’S OA papers from 2020-2025 to understand evolving patterns
- Time Management: Practice completing 2-3 coding problems in 90 minutes
- LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
- Ed-Tech Focus: Practice problems related to ed-tech systems and adaptive learning
- System Design Mastery: Learn AI-powered ed-tech platform design, adaptive learning systems, personalized learning paths
- BYJU’S Technologies: Learn ed-tech platforms, AI-powered features, adaptive learning systems, personalized learning paths
- Behavioral Preparation: Prepare examples using STAR format - problem-solving, education passion, AI/ML passion
- Mock Tests: Take timed practice tests to improve speed and accuracy
- AI/ML in Ed-Tech: Understand AI/ML applications in ed-tech and personalized learning

